At a glance — Oct 2026
Updated 2026-10-27 · forward this page: /jtbds/enterprise-gpu#briefScores as of 2026-10-19 (8 days old).
- Depot Pick
- CoreWeave · 7.47/10 for this job (curated estimate, high confidence)
privacy + maturity + reliability.
- Runner-up
- AWS GPU (EC2/P5/SageMaker) · 7.40/10
Scores higher than the pick on: Capability fit, Latency / reliability, Privacy / data retention, Maturity / track record.
- When not to use the pick
- Indie team without enterprise needs — RunPod/Lambda.
- Lock-in / migration
- The pick has lower stored lock-in risk than runner-up AWS GPU (EC2/P5/SageMaker) (6.5 vs 8).
- Sourced price (usd_per_gpu_hour)
Pick's lowest sourced SKU: NVIDIA HGX H100 inference single GPU $6.16 (usd_per_gpu_hour) — source, as of 2026-10-19
Cheapest matching SKU: Crusoe NVIDIA L40S 48GB $1.5 — source, as of 2026-10-19, re-checked 2026-10-27. Not the pick; not quality-adjusted.
Price history: first seen 2026-10-19 · last changed no change recorded · history JSON
- Free option
- No free resource lists this job. A cheap paid SKU is not a free option.
- Failure modes to watch
- Runaway spend: Set a budget and a tool-call cap per task. Alert when spend jumps. Stop the run at the cap instead of summarizing a partial trace as success.
Same-job, same-unit comparisons: CoreWeave vs Crusoe
Cite: Agent Provider Depot, Depot Pick for enterprise-gpu: coreweave, scores as of 2026-10-19. Agents: GET /api/decide?jtbd=enterprise-gpu
All sourced prices, cheapest first
CoreWeave
privacy + maturity + reliability.
Pricing (directional): On-demand H100 ~$6+/hr class historically; B200 higher; Kubernetes-native (CKS); often sales for large capacity. Public company.
Lock-in risk: higher = more lock-in (worse). Overall already inverts this dimension.
Enterprise training/inference fleet pick. Skip if you just need a single H100 for an afternoon — use RunPod.
Quote for Enterprise GPU cloud
Depot Pick stays CoreWeave. Prices below are sourced SKU rows only (as of 2026-10-27). Input and output are not blended. GET /api/quote?jtbd=enterprise-gpu
Pick is not a price winner. coreweave matching USD per GPU-hour is 6.16; cheapest among candidates is crusoe at 1.5.
- NVIDIA GH200 (1 GPU instance) usd_per_gpu_hour $6.5 source as of 2026-10-19
- NVIDIA HGX B200 inference single GPU usd_per_gpu_hour $8.6 source as of 2026-10-19
- NVIDIA HGX H100 inference single GPU usd_per_gpu_hour $6.16 source as of 2026-10-19
- NVIDIA HGX H200 inference single GPU usd_per_gpu_hour $6.31 source as of 2026-10-19
6 of 10 candidates have no sourced price row. 6 are excluded from the USD per GPU-hour comparison (gpu_hour). min sourced GPU-hour SKU among candidates; not coerced to $/1M; per-second GPU was not included; not quality-adjusted
Sourced USD per GPU-hour for Enterprise GPU cloud
Candidates for this job that already have a matching sourced price (gpu_hour), cheapest first. As of 2026-10-27. Each figure is one SKU in that unit, not a blend of input and output, not a cross-modal rate, and not a Depot score. min sourced GPU-hour SKU among candidates; not coerced to $/1M; per-second GPU was not included; not quality-adjusted The Depot Pick is not a price winner.
| Provider | USD per GPU-hour | SKU | Source | As of |
|---|---|---|---|---|
| Crusoe | $1.5usd_per_gpu_hour | NVIDIA L40S 48GB | pricing page | 2026-10-19 |
| Nebius | $1.8usd_per_gpu_hour | NVIDIA RTX PRO 6000 | pricing page | 2026-10-19 |
| Oracle Cloud GPU | $2usd_per_gpu_hour | VM.GPU.A10.1 | pricing page | 2026-10-19 |
| CoreWeaveDepot Pick | $6.16usd_per_gpu_hour | NVIDIA HGX H100 inference single GPU | pricing page | 2026-10-19 |
Runners-up
AWS GPU (EC2/P5/SageMaker)
Use when AWS is destiny. For greenfield agent GPUs, neoclouds win on price and speed-to-pod.
GCP GPU (Compute/GKE)
Fine inside GCP. Quota tickets will humble you — plan capacity early.
Azure GPU (N-series/ND)
Microsoft-shop GPU default. Everyone else should compare RunPod/Lambda first.
Crusoe
Solid neocloud when you want SLA + energy story. Not the first stop for hackathon GPUs.
When NOT to use the top pick
Indie team without enterprise needs — RunPod/Lambda.
Full ranking (score table)
Ranked with this JTBD's weights. Scores are curated estimates unless marked otherwise. Agents: prefer /api/decide then this table for tie-breaks.
| # | Provider | Overall | Fit | $/perf | Latency | DX | As of |
|---|---|---|---|---|---|---|---|
| 1 | Oracle Cloud GPU | 7.7 | 8.0 | 8.8 | 8.0 | 6.5 | 2026-09-14 |
| 2 | Voltage Park | 7.7 | 8.6 | 7.8 | 8.4 | 6.8 | 2026-09-14 |
| 3 | Crusoe | 7.7 | 8.6 | 7.2 | 8.6 | 7.4 | 2026-09-14 |
| 4 | Nebius | 7.7 | 8.6 | 7.0 | 8.4 | 7.6 | 2026-09-14 |
| 5 | NVIDIA NIM / NGC | 7.6 | 8.6 | 7.0 | 8.0 | 6.8 | 2026-10-19 |
| 6 | FluidStack | 7.5 | 8.0 | 8.4 | 7.2 | 6.8 | 2026-09-14 |
| 7 | CoreWeaveDepot Pick | 7.5 | 9.2 | 5.5 | 9.0 | 7.5 | 2026-10-19 |
| 8 | AWS GPU (EC2/P5/SageMaker) | 7.4 | 9.4 | 4.8 | 9.5 | 7.0 | 2026-09-14 |
| 9 | GCP GPU (Compute/GKE) | 7.3 | 9.0 | 5.0 | 9.0 | 7.2 | 2026-09-14 |
| 10 | Azure GPU (N-series/ND) | 7.2 | 8.8 | 5.0 | 9.0 | 6.8 | 2026-09-14 |
Score methodology for this job
privacy + maturity + reliability.
capabilityFit: 22%pricePerformance: 25%latencyReliability: 15%developerDx: 12%privacyPosture: 8%lockInRisk: 8%maturity: 10%